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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Visualization and Reporting | 20% | - Design principles for effective visualizations - Dashboard and report development - Validation and accuracy of reports - Communicating insights to stakeholders |
| Topic 2: Data Acquisition and Preparation | 22% | - Data collection methods and sources - Data extraction, transformation, and loading (ETL/ELT) - Data integration and normalization - Data cleaning, validation, and quality improvement |
| Topic 3: Data Governance, Quality, and Management | 14% | - Data privacy, security, and compliance - Data governance frameworks and policies - Data lifecycle management and documentation - Data quality standards and monitoring |
| Topic 4: Data Concepts and Environments | 20% | - Data types, structures, and formats - Cloud and distributed data environments - Foundational concepts of AI and machine learning in data - Database systems and architectures |
| Topic 5: Data Analysis | 24% | - Exploratory and confirmatory data analysis - Data modeling and pattern recognition - Analytical tools and querying languages - Statistical methods and techniques |
>> Exam CompTIA DA0-002 Topic <<
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NEW QUESTION # 57
Which of the following best describes the reason an analyst would reference a data dictionary versus a source's metadata?
Answer: A
Explanation:
A data dictionary provides detailed definitions of fields, including their meaning, structure, and attributes, which helps an analyst understand the specific contents of a data set.
NEW QUESTION # 58
A data analyst must create a report to analyze the flow of services from call receipt to service completion using established time points. Which of the following techniques should the analyst use to create the needed variables?
Answer: A
Explanation:
Calculating is used to create new variables from existing data through mathematical operations.
To analyze the flow of services between call receipt and service completion using established time points, the analyst would calculate variables such as elapsed time, service duration, or response time from the existing timestamps.
NEW QUESTION # 59
Which of the following best explains the purpose of data lineage?
Answer: A
Explanation:
Data lineage documents the lifecycle of data, showing how it moves and changes as it passes through systems, processes, and transformations--from initial acquisition to final reporting and consumption. It helps organizations understand where data came from, how it was modified, and whether it can be trusted for decision-making.
NEW QUESTION # 60
A data analyst is querying a database. However, the analyst is unfamiliar with the table names, field names, data types, and field definitions. Which of the following is the best place to look for this information?
Answer: B
Explanation:
A data dictionary provides detailed information about database structures, including table names, field names, data types, and definitions, making it the primary reference for understanding the schema.
NEW QUESTION # 61
A database administrator needs to implement security triggers for an organization's user information database. Which of the following data classifications is the administrator most likely using? (Select two).
Answer: A,C
NEW QUESTION # 62
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